A histogram specification technique for dark image enhancement using a local transformation method

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Abstract

Traditional image enhancement techniques produce different types of noise such as unnatural effects, over-enhancement, and artifacts, and these drawbacks become more prominent in enhancing dark images. To overcome these drawbacks, we propose a dark image enhancement technique where local transformation of the pixels have been performed. Here, we apply a transformation method of different parts of the histogram of an input image to get a desired histogram. Afterwards, histogram specification technique has been done on the input image using this transformed histogram. The performance of the proposed technique has been evaluated in both qualitative and quantitative manner, which shows that the proposed method improves the quality of the image with minimal unexpected artifacts as compared to the other techniques.

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Hussain, K., Rahman, S., Rahman, M. M., Khaled, S. M., Abdullah-Al Wadud, M., Hossain Khan, M. A., & Shoyaib, M. (2018). A histogram specification technique for dark image enhancement using a local transformation method. IPSJ Transactions on Computer Vision and Applications, 10(1). https://doi.org/10.1186/s41074-018-0040-0

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